GilbertKrantz/Scientific-Paper-Summarization

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Scientific-Paper-Summarization

This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 3.7936
• —Rouge1: 0.1499
• —Rouge2: 0.0276
• —Rougel: 0.1159
• —Rougelsum: 0.1155
• —Gen Len: 18.965

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 2e-05
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 4
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.45.1
• —Pytorch 2.4.0
• —Datasets 3.0.1
• —Tokenizers 0.20.0